Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world. Have you wanted an opportunity to secure an advanced satellite broadband telecom service? The Leo Security team owns the security of product and operations of Leo end-to-end. We provide the necessary infrastructure and mechanisms to ensure the security of our satellite constellation and to protect the integrity and confidentiality of our customer data. Our team drives the research & development, deployment and operation of several mission-critical security systems and mechanisms. You will work in a start-up like environment, backed by Amazon's infrastructure to bootstrap security mechanisms, and help instill the security culture in the organization.

Key job responsibilities

Serve as the organization's AI security subject matter expert. Drive AI tool approval reviews, lead security reviews for AI-integrated systems, and make policy decisions on AI adoption.

Represent security in cross-Amazon AI security working groups and drive cross-team alignment on AI policy direction. Mentor and backstop AI leads across teams on AI consultations and reviews.

Define and drive implementation of proactive security controls for AI applications including GenAI-powered tools, agentic systems, and LLM-integrated services. Guide teams towards solutions that are secure by default; if secure-by-default solutions don't exist, invent and propose them.

Develop and implement security controls for the AI software development lifecycle, ensuring builders build secure AI applications by default.

Assess and drive mitigation of AI-specific security risks including prompt injection, model abuse, data exfiltration, unauthorized tool invocation, and autonomy boundary violations at scale.

Establish environment-specific security bar, threat models, and defense priorities for AI systems. Construct security frameworks, rubrics, and runbooks for AI-related problem domains that enable others to apply your work in a repeatable way.

Collaborate with builder teams to assess technical debt and risk in AI systems. Provide strategic direction that addresses vulnerabilities and fortifies our products. Lead the burn down of long-term AI security risk.

Drive adoption of AI security guardrails, testing frameworks, and monitoring across the organization.

Collaborate with business leaders to define AI security priorities. Support leaders by acting as a trusted advisor and providing direction that makes security easy. Help leaders measure their org's security execution.

Work with builder teams to understand their build processes and ensure they use appropriate security linting, static analysis, and AI-specific testing tools. Instill a security culture in builder teams.

Mentor builders who aspire to become security advocates and security engineers via 1-1 sessions and office hours.

Assist Red Teams in identifying AI security testing priorities. Scope penetration tests for AI systems and help deep-dive on these engagements.

Support security incident investigations related to AI systems, including prompt injection attacks, model misuse, and data exfiltration attempts. Investigate emerging AI security issues, root cause them, and devise mechanisms to prevent them.

Propose a security vision for AI that delivers security and protects our customers.

Leverage support from automation teams that find discoverable vulnerabilities. Advocate for the creation and deployment of new testing tools and detection mechanisms.

And last of all-hack some really cool bleeding edge tech!

A day in the life

In this highly dynamic role, you'll be accountable for deciding where your time investments provide the most value. You will have a blend of proactive and reactive work. Teams will reach out for ideas on how to handle a wide variety of security problems. You can anticipate implementation questions like:

- "We're integrating a third-party AI tool-what are the security, privacy, compliance and export control implications?"

- "We need to deploy an agentic system that invokes MCP tools-how do we define autonomy boundaries and prevent prompt injection?"

- "What's the right way to scope IAM permissions for a Bedrock inference endpoint with cross-partition data access?"

- "We've experienced an AI-related incident and need to perform root cause analysis to identify what security controls failed."

- "We want to build AI-powered security tooling (e.g., automated threat modeling, code scanning)-how do we do this securely?"

When you're not working on responding to the questions of your builder teams, you will be evaluating overall org performance to identify architectural defects and proposing new security initiatives to correct problems in the org. You will help Amazon maintain a high bar for customer security.

BASIC QUALIFICATIONS

- 5+ years of any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience

- Demonstrated experience security-reviewing or architecting at least three of: AWS-hosted inference (Bedrock, IAM scoping, KMS, region/partition constraints), agentic systems (autonomy boundaries, prompt injection, tool-use mediation), MCP servers (data access patterns, registration/compliance, agentic MCP risk), model hosting infrastructure, 3P AI tool security review (data flow analysis, ingress/egress control, ECI/ITAR scoping)

- 3+ years of hands-on AI/ML security work (security reviews of AI-integrated systems, threat modeling for AI tools, exposure to common AI architectures such as inference platforms, agentic systems, MCP/tool-use, and 3P AI tools)

- Experience driving formal security reviews (ASR or equivalent) of complex AI systems through to certification, with comfort in risk-based review prioritization

- Knowledge of common AI security risks (prompt injection, data poisoning, model extraction, insecure tool use, autonomy boundary violations)

- Demonstrated experience driving security policy decisions in cross-team or cross-org working group settings, comfortable navigating consensus among technical and non-technical stakeholders

- 5+ years of experience communicating complex technical concepts to non-technical audiences, with strong written and verbal skills and the ability to work effectively across internal and external organizations

PREFERRED QUALIFICATIONS

- Knowledge of cloud computing services and deployment architecture

- Experience developing security controls and tooling across the AI-SDLC-including secure design review, threat modeling, code scanning, and security testing of LLM-based applications-with programming/scripting skills sufficient to build or drive adoption of automated security tools that work at scale

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Redmond - 178,400.00 - 226,700.00 USD annually